166 HNUE JOURNAL OF SCIENCE DOI 10 18173/2354 1059 2022 0034 Natural Sciences 2022, Volume 67, Issue 2, pp 166 178 This paper is available online at http //stdb hnue edu vn ASSESSMENT OF IMPACTS OF TH[.]
Trang 1HNUE JOURNAL OF SCIENCE DOI: 10.18173/2354-1059.2022-0034 Natural Sciences 2022, Volume 67, Issue 2, pp 166-178
This paper is available online at http://stdb.hnue.edu.vn
ASSESSMENT OF IMPACTS OF THE ROAD SYSTEM ON FLOOD REGIME
IN THE COASTAL FLOODING AREA OF VU GIA - THU BAN RIVER BASIN,
QUANG NAM PROVINCE
Hoang Thanh Son1, Le Duc Hanh1, Vu Hai Dang2, Bui Anh Tuan1,
Nguyen Thị Hai Yen1 and Tong Phuc Tuan1
1 Institute of Geography, Vietnam Academy of Science and Technology
2 Institute of Marine Geology and Geophysics, Vietnam Academy of Science and Technology
Abstract Flooding is one of the dangerous types of natural disasters, which has been
causing great damage to human values and even human life, leading to negative impacts on socio-economic development, specifically in the lowland areas of the
Vu Gia - Thu Bon river basin The road system contributes to promoting intra-regional and inter-regional connectivity and is an important factor for socio-economic development However, in certain cases, the road system continues to be expanded and enhanced, turning them into "dyke systems", interfering with the natural flood regime, increasing the area and flooding time To assess the impact of the road
system on the flood regime, the paper uses the Mike Flood modeling module to
simulate the change of flood regime for flood events in 1999, 2007, 2020, and the 5% flood scenario The comparison between the current road system and the old road system shows a certain increase in both depth and flooded area, especially in the case
of 5% flood, the flood depth increases by 0.1 - 0.2 m in the upper part of the basin but only a small change in the lower part of the basin from 0.01 - 0.04 m
Keywords: flood, Quang Nam, coastal zone, road system
1 Introduction
The two-way relationship between road systems and flood regimes is well known in the scientific community, but most scientists are only concerned with the flood aspect that damages structures, obstruct traffic, and leaves many other long-term impacts on socio-economic development and the environment [1] Flooding results in significant repair costs for road authorities make it difficult to access emergency services [2] and disrupts traffic in general The consequences for business and the economy at large can be significant [3] Since the time and cost required to rebuild are quite large, long-term, sustainable planning is very important [4] In general, the approach to this problem is to Received May 17, 2022 Revised June 22, 2022 Accepted June 29, 2022
Contact Tong Phuc Tuan, e-mail address: tuan_tongphuc@yahoo.com
Trang 2consider and analyze flood risk as an important input for traffic planning, and develop emergency response plans to consistently control the situation and efficiently allocate resources to prevent, reduce, and restore transportation systems [5] Although there is a two-way relationship, most only focus on the impact of the floods on the transportation system, and rarely mention the opposite relationship, such as the USS EPA [6] which just mentioned the effects of road network development on ecosystem structure and their function This paper studies the impact of the current road system on the natural flood regime
by using the Mike Flood model for the sensitive lowlands of the Vu Gia - Thu Bon basin,
in the area of Quang Nam Province This is the initial study to explore this scientific aspect in Vietnam
Quang Nam province has a large area (10,406 km2), belongs to the central key economic region, and is home to two cultural heritages (My Son sanctuary, Hoi An ancient town) and a biosphere reserve (Cu Lao Cham) recognized by UNESCO In the future, Quang Nam plans to double the size of the economy by 2025 with high per capita income, together with Da Nang - Quang Ngai to become a new growth pole, creating spillover effects in the Central - Central Highlands region Occupying 92% of the area of Quang Nam province, the Vu Gia - Thu Bon river basin has the largest water resources compared to the 9 largest river basins in Vietnam Besides fresh water, the high potential
of hydropower resources has also been exploited to serve the socio-economic development of Quang Nam province, but the disadvantage of "excess" water in the flood season has affected the growth of Quang Nam province
In the previous literature, many studies focused on coastal flooding and inundation
in Quang Nam province, but now due to the rapid development of the infrastructure system, especially the road system Due to the fact that the problem of flooding occurs in traffic, urban areas, and industrial zones, there are many adverse fluctuations, so it is necessary to have a study taking into account certain situations to create a scientific basis and propose appropriate solutions to minimize damage caused by floods and inundation
to the economy and the safety of people's lives [7]
In Vietnam, the national transport mostly relies on the road transport system, which has become a strong driving force for socio-economic development The Central Coast region has urban areas distributed in lowland plains, affected by high tides, and also areas with a high risk of flooding The situation is more serious because the upper part of the basin has steep terrain, and short rivers, causing water rapidly flows downstream In addition, the coastal dune system plays as a flood barrier A common solution used to deal with this risk in low-lying areas is the regulation of building structures with foundations exceeding the flood level But raising the local foundation of each project, including transportation projects, without a comprehensive strategic urban development plan will lead to topographic changes and change the regional flood regime Therefore, the inundation issue remains unresolved but only moves from one place to another, and those topographical changes cause significant changes in the flooding mechanism, making it more difficult to forecast Besides, the rapid urbanization of the area, accompanied by concreting, significantly reduces the infiltration capacity of water into the soil, which also affects the regional inundation regime
Trang 3To assess the impact of the road system on the inundation regime in the study area,
the paper used the Mike Flood model to simulate the flooding process of typical floods in
the period before and after the road building The results provide a scientific basis for proposing solutions to minimize the impact of floods on socio-economic development
2 Content
2.1 Study area, data, and methodology
2.1.1 Study area
Figure 1 main traffic roads play an important role in the flood regime
on the flood plain of Vu Gia - Thu Bon river basin
The study area in Quang Nam province has a road system that is classified into two categories: crosses and runs along the flood relief channel Traffic routes crossing the flood relief channel from West to East include Ho Chi Minh road (175 km), Da Nang - Quang Ngai highway (90 km), 1A National Highway (85 km), and coastal road (48 km, from Cua Dai to Nui Thanh), Thong Nhat railway (85 km) In the future, there will be a Lien A railway The roads extending along the flood relief channel include 14B National Road (42 km), 14D National Road (74.4 km), and 14E National Road (89.4 km) Additionally, there are 20 provincial roads with a total length of about 465 km, and more than 7,905 km of rural and urban roads, forming local flood cells in the general flood
Trang 4regime of the region Coastal roads play the role of flood barrier, usually with elevations
of about 1 - 5 m higher than the surrounding area, and together with the road system along the flood relief canals and locally interconnected roads, they act as dyke systems, which fragment the terrain, reduce flood capacity as well as interfering with the regional flood regime
2.1.2 Data sources
Rainfall data are collected at weather stations: Hien, Kham Duc, Thanh My, Nong Son, Giao Thuy, Hoi Khach, Ai Nghia, Cau Lau, Hoi An, Da Nang, Tra My, Tien Phuoc, Hiep Duc
Water flow data was collected at the hydrological stations of Thanh My and Nong Son Hourly tide levels at Cua Han and Cua Dai were collected at Cam Le and Cau Lau stations Reservoir operation parameters were collected at the management boards of Song Bung 4, A Vuong, Song Bung 4A, Song Bung 5, Dak Mil, and Song Tranh 2 The system
of 6 reservoirs is operated following the Vu Gia - Thu Bon inter-reservoir process
Table 1 Parameters of reservoir following the inter-reservoir operation procedure [8]
Name of Reservoir
Volume Operation
volume
Flood storage volume
Dead volume
Maximum discharge flow
106 m3 106 m3 106 m3 106 m3 m3/s
Table 2 Technical parameters of dams [9]
No Name
Disigned water level (m)
Discharge water level (m)
Outlet number
Sized
Topographic data: topographic map 1:10,000 collected at the Ministry of Natural Resources and Environment; topography of riverbed cross-sections, road, and railway data were collected and surveyed by the authors
Trang 52.1.3 Study method
Simulation of flood regime in downstream Vu Gia - Thu Bon, taking into account the influence of road and railway systems, based on collected and measured data using
Mike Flood module (the one-dimensional model in Mike 11) to simulate river flooding,
and use a 2-D Mike 21 model to simulate bankfull flow [10] The steps are the
following:
- Set up 1D model - Mike 11;
- Identify river network and hydraulic works: The river network used in the hydraulic analysis is the main river of the Vu Gia - Thu Bon river system, downstream from Nong Son station (Vu Gia river), from Thanh My station (Thu Bon River) and some other main rivers at downstream In addition, due to the lack of monitoring data in the Bung, Con, Tuy Loan, and Ly rivers, the water flow in those rivers is simulated by a hydraulic model, which is included in the simulation of the river system as the boundary The river network established in the model includes 14 rivers and 477 cross-sections;
- Set up the 2D-Mike 21;
- Topographic maps scaled 1:10,000 and elevation data measured in 2020 are applied
to create the grid in Mike 21 When the calculation grid was built, the riverbed topography was not included in the computational domain because it is available in Mike 11 HD
Besides, the traffic network is created in the elevation grid to simulate the terrain change
Figure 2 Hydraulic network (Mike 11) of Vu Gia - Thu Bon basin
Trang 6Figure 3 Computational area in Mike 21
Combine Mike 11 and Mike 21: Mike Flood module;
Mike 21 and Mike 11 models were linked by 2 types of connections: side connection
and standard connection The rivers were connected to the flooded plain area through a side connection while the sewers are connected to the flooded plain area through a standard connection (Figure 4)
Figure 4 The connection between Mike 11 and Mike 21 in Mike Flood module
Trang 7* Calibration and Validation
In this study, we selected the data of floods in 2016 (from December 11, 2016 to December 22, 2016) for calibration and the flood from November 2, 2017 to November 9,
2017 to validate the model These are three floods with synchronous monitoring data, consistent with the riverbed topographic data measured in 2020 by the Institute of Geography The Nash index at the hydrological stations all reached from 0.72 to 0.97, showing that the established model is good enough and can be used to calculate the research scenarios
Table 3 Nash index to compare calculated and measured water levels in 2016, 2017
Station Hoi
Khach
Giao Thuy Ai Nghia Cam Le Cau Lau Hoi An
Table 4 Compare Hmax at validating stations in early 10/2020
Area Calculated Hmax (m) Measured Hmax (m) Difference (m)
The results of model testing with the flood event in October 2020 at monitoring stations show that simulated water levels are close to the measured water level The difference
between the measured and calculated peak water levels is from 0.01 - 0.02 m
2.2 Study results
2.2.1 Flood simulation result with the hydraulic input of extreme flood event in 1999
The model inputs include hydraulic parameters (similar to the flood event recorded
in 1999), topographic data for 2020, and a detailed road and rail system The model results show a significant increase in flood depth as well as flood area For example, comparing the measured flood data in 1999 and the simulation results for the new topographic data
in 2020, the flood depth increases by +2.29 m at Hoi Khach station, +0.76 m at Ai Nghia station, +0.53 m at Giao Thuy station, and +0.49 m at Cau Lau station (Table 5)
On the other hand, some small areas have a decrease in flooded depth such as Cam
Le station (-0.3 m)